<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-16T09:44:40Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/5202" metadataPrefix="oai_dc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/5202</identifier><datestamp>2021-11-10T09:53:33Z</datestamp><setSpec>com_10259_4996</setSpec><setSpec>com_10259_3989</setSpec><setSpec>com_10259.4_106</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_4999</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>EVIDENT smartphone app, a new method for the dietary record: comparison with a food frequency questionnaire</dc:title>
<dc:creator>Recio Rodríguez, José I.</dc:creator>
<dc:creator>Rodríguez Martín, Carmela</dc:creator>
<dc:creator>González Sánchez, Jesús</dc:creator>
<dc:creator>Rodríguez Sánchez, Emiliano</dc:creator>
<dc:creator>Martín Borras, Carme</dc:creator>
<dc:creator>Martínez Vizcaino, Vicente</dc:creator>
<dc:creator>Arietaleanizbeaskoa, María Soledad</dc:creator>
<dc:creator>Magdalena González, Olga</dc:creator>
<dc:creator>Fernández Alonso, Carmen</dc:creator>
<dc:creator>Maderuelo Fernández, José A.</dc:creator>
<dc:creator>Gómez Marcos, Manuel A.</dc:creator>
<dc:creator>García Ortiz, Luis</dc:creator>
<dc:creator>On Behalf of the EVIDENT Investigators</dc:creator>
<dc:subject>technology assessment</dc:subject>
<dc:subject>biomedical</dc:subject>
<dc:subject>telemedicine</dc:subject>
<dc:subject>energy intake</dc:subject>
<dc:subject>diet records</dc:subject>
<dc:subject>surveys and questionnaires</dc:subject>
<dc:subject>Nutrición</dc:subject>
<dc:subject>Nutrition</dc:subject>
<dc:description>Background: More alternatives are needed for recording people’s normal diet in different populations, especially adults or the&#xd;
elderly, as part of the investigation into the effects of nutrition on health.&#xd;
Objective: The aim of this study was to compare the estimated values of energy intake, macro- and micronutrient, and alcohol&#xd;
consumption gathered using the EVIDENT II smartphone app against the data estimated with a food frequency questionnaire&#xd;
(FFQ) in an adult population aged 18 to 70 years.&#xd;
Methods: We included 362 individuals (mean age 52 years, SD 12; 214/362, 59.1% women) who were part of the EVIDENT&#xd;
II study. The participants registered their food intake using the EVIDENT app during a period of 3 months and through an FFQ.&#xd;
Both methods estimate the average nutritional composition, including energy intake, macro- and micronutrients, and alcohol.&#xd;
Through the app, the values of the first week of food recording, the first month, and the entire 3-month period were estimated.&#xd;
The FFQ gathers data regarding the food intake of the year before the moment of interview.&#xd;
Results: The intraclass correlation for the estimation of energy intake with the FFQ and the app shows significant results, with&#xd;
the highest values returned when analyzing the app’s data for the full 3-month period (.304, 95% CI 0.144-0.434; P&lt;.001). For this period, the correlation coefficient for energy intake is .233 (P&lt;.001). The highest value corresponds to alcohol consumption&#xd;
and the lowest to the intake of polyunsaturated fatty acids (r=.676 and r=.155; P&lt;.001), respectively. The estimation of daily&#xd;
intake of energy, macronutrients, and alcohol presents higher values in the FFQ compared with the EVIDENT app data. Considering&#xd;
the values recorded during the 3-month period, the FFQ for energy intake estimation (Kcal) was higher than that of the app (a&#xd;
difference of 408.7, 95% CI 322.7-494.8; P&lt;.001). The same is true for the other macronutrients, with the exception g/day of&#xd;
saturated fatty acids (.4, 95% CI −1.2 to 2.0; P=.62).&#xd;
Conclusions: The EVIDENT app is significantly correlated to FFQ in the estimation of energy intake, macro- and micronutrients,&#xd;
and alcohol consumption. This correlation increases with longer app recording periods. The EVIDENT app can be a good&#xd;
alternative for recording food intake in the context of longitudinal or intervention studies.&#xd;
Trial Registration: ClinicalTrials.gov NCT02016014; http://clinicaltrials.gov/ct2/show/NCT02016014 (Archived by WebCite&#xd;
at http://www.webcitation.org/760i8EL8Q).</dc:description>
<dc:description>Spanish Ministry of Science and Innovation and Carlos III Health Institute/European Regional Development Fund (FIS: PI13/00618, PI13/01526, PI13/00058, PI13/01635, PI13/02528, PI12/01474; RETICS: RD12/0005, RD16/0007), Regional Health Management of Castilla and León (GRS 1191/B/15, GRS 909/B/14, GRS 770/B/13), and the Infosalud Foundation</dc:description>
<dc:date>2020-01-09T09:50:28Z</dc:date>
<dc:date>2020-01-09T09:50:28Z</dc:date>
<dc:date>2019-02</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>http://hdl.handle.net/10259/5202</dc:identifier>
<dc:identifier>10.2196/11463</dc:identifier>
<dc:identifier>2291-5222</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>JMIR mHealth and uHealth. 2019, V. 7, n. 2, e11463</dc:relation>
<dc:relation>https://doi.org/10.2196/11463</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/PI13/00618</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/PI13/01526</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/PI13/00058</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/PI13/01635</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/PI13/02528</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/PI12/01474</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/RD12/0005</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICINN/RD16/0007</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/JCyL/1191-B-15</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/JCyL/909-B-14</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/JCyL/770-B-13</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>JMIR Publications</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>